7.3 Version NERPMAB2 - Revision history

Bstabler: Updated content for special generators

2021-02-02T19:49:11Z

Updated content for special generators

Bstabler: Added link to model document

2021-01-26T13:05:17Z

Added link to model document

Bstabler: Changed some formatting and updated some references.

2020-12-08T02:45:35Z

Changed some formatting and updated some references.

Bstabler: 7.3 Version NERPMAB2v1 major updates from the model document

2020-12-08T02:20:41Z

7.3 Version NERPMAB2v1 major updates from the model document

Show changes

Bstabler at 21:54, 27 August 2020

2020-08-27T21:54:51Z

Bstabler at 21:53, 27 August 2020

2020-08-27T21:53:01Z

Show changes

Bstabler: Created page with "'''7.3 VERSION NERPM-AB2''' This section documents the set of improvements that were made to the NERPM model for the release of NERPM-AB2. The improvements focused on: *Bas..."

2020-08-26T21:48:28Z

Created page with "'''7.3 VERSION NERPM-AB2''' This section documents the set of improvements that were made to the NERPM model for the release of NERPM-AB2. The improvements focused on: *Bas..."

New page

'''7.3 VERSION NERPM-AB2'''

This section documents the set of improvements that were made to the NERPM model for the release of NERPM-AB2. The improvements focused on:

*Base year updated from 2010 to 2015
*Re-built all land use inputs for 2015 and future
*Switched from parcels to microzones to ease data preparation
*Switched from PopGen to PopulationSim
*Updated the highway network to 2015 (NFTPO)
*Updated the transit network to 2016 (JTA)
*Updated external traffic volumes and distributions based on Bluetooth OD data (FDOT)
*Upgraded from the NFTPO specific version of DaySim to the multiple-agency (a.k.a. core) version, which is faster, more stable, and includes new features such as Transportation Network Companies (TNC) mode (i.e. Uber and Lyft)
*Updated future year scenarios

@@ Line 124: / Line 124: @@
 <h3> Special Generators </h3>
-Jacksonville International Airport and St. Augustine are the two special generators that are effectively acting as a special generators in the model.
+Jacksonville International Airport (JAX) and St. Augustine are the two special generators in the model.
 The Airport had an attraction value of 15,000 in 2010. Based on several sources, RSG determined that the passenger traffic at the airport has decreased slightly between 2010 and 2015. CAPA – Centre for Aviation noted an overall downward trend in traffic since 2008 but traffic began to pick up in 2013 . The airport’s website lists the 2010 and 2015 number of passengers as 5,602,000 and 5,502,000 respectively, which represents a 1.8% reduction in traffic. FDOT’s 2015 Airport Profile of JAX showed similar findings. Given the small change over the years, we recommend leaving the airport’s attraction value at 15,000 for 2015.
-St. Augustine had an attraction value of 2,288 in 2010. This number accounts for tourists coming to the area. In 2010 and 2015, St. Johns County had 3.4 million and 6.3 million visitors, respectively, which represents an 85% growth over the five-year period. The 2015 number was considered an anomaly because it was the City’s 450th birthday. However, 2016 was even higher with 6.8 million visitors, so an 85% increase may be reasonable. Increasing the attractions value by 85% to 4,240 could have a noticeable impact on links near the TAZ.
+St. Augustine had an attraction value of 2,288 in 2010. This number accounts for tourists coming to the area. In 2010 and 2015, St. Johns County had 3.4 million population and 6.3 million visitors, respectively, which represents an 85% growth over the five-year period. The 2015 number was thought to be an anomaly because in 2015 the City’s celebrate its 450th birthday. However, in 2016 the City had 6.8 million visitors, so an 85% increase may be reasonable. Increasing the attractions value by 85% to 4,240 could have a noticeable impact on links in the vicinity of this TAZ.
 <h2> PopulationSim </h2>

@@ Line 403: / Line 403: @@
 In this figure, we see the performance of PopulationSim as it tries to match the controls. In this version of the model, controls such as household size, householder age, household income etc. were used at different levels of geography. The standard deviation (STDEV) of the percentage difference informs us of how much dispersion from the average exists. As you can see, the total number of households at the MAZ level matches perfectly with the controls. PopulationSim does that by design. And we see a very close match on all the other controls as well.
-[[File:Sdev2045.jpg]]
+[[File:Sdev2045.jpg|778x972px]]
 <h2> Updating 2045 control data </h2>
@@ Line 535: / Line 535: @@
 In this figure, we see the performance of PopulationSim as it tries to match the controls. In this version of the model, controls such as household size, householder age, household income etc. were used at different levels of geography. The standard deviation (STDEV) of the percentage difference informs us of how much dispersion from the average exists. As you can see, the total number of households at the MAZ level matches perfectly with the controls. PopulationSim does that by design. And we see a very close match on all the other controls as well.
-[[File:Sdev2030.jpg]]
+[[File:Sdev2030.jpg|778x972px]]
 <h2> Updating 2030 control data </h2>
@@ Line 542: / Line 542: @@
 <h4> Land-use file before update </h4>
-[[File:lubefore30.jpg]]
+[[File:lubefore45.jpg]]
-*Update the land-use “nftpo_microzones_2045.csv” file by adding 100 households to MAZ 1439. The figure above shows the land-use file before the addition of 100 households and the figure below shows the land use file after the addition of 100 households.
+*Update the land-use “nftpo_microzones_2030.csv” file by adding 100 households to MAZ 1439. The figure above shows the land-use file before the addition of 100 households and the figure below shows the land use file after the addition of 100 households.
 <h4> Land-use file after update </h4>
-[[File:luafter30.jpg]]
+[[File:luafter45.jpg]]
 *Edit the variables listed in the table below within the CUBE script “update_controls.S” located in “./User.prg/Population_Synthesis/” folder. The script performs following actions:
@@ Line 829: / Line 829: @@
 <h4>Work Location Choice: HOME-WORK DISTANCES </h4>
 [[File:WLCHWD.JPG]]
 <h4>School Location Choice: HOME-SCHOOL DISTANCES </h4>
 [[File:SLCHSD.JPG]]
 <h2>Development of External Model Inputs </h2>

@@ Line 108: / Line 108: @@
 <h2> Model Calibration and Validation </h2>
-The 2017 north florida travel survey and the 2016 onboard rider demographic survey were used to calibrate the model. Traffic counts and transit boarding counts were used to validate the model outputs.
+The 2017 north florida travel survey and the 2016 onboard rider demographic survey were used to calibrate the model. Traffic counts and transit boarding counts were used to validate the model outputs. The following tables and figures show the results of the calibrated model. These include trip length frequency distributions, tour and trip mode choice model results, highway and transit validation etc.
 <h4> Table: Population and Employment </h4>

@@ Line 13: / Line 13: @@
 *Upgraded from the NFTPO specific version of DaySim to the multiple-agency (a.k.a. core) version, which is faster, more stable, and includes new features such as Transportation Network Companies (TNC) mode (i.e. Uber and Lyft)
 *Updated future year scenarios
 <h2> Parcel to Microzone (MAZ) </h2>